About
Specializing in GIS, remote sensing, and spatial analysis with a strong focus on geospatial automation and environmental modeling. Experienced in processing complex spatial data and conducting environmental monitoring, combining field survey georeferencing with advanced remote data analysis.
Technical Expertise:
Spatial Automation & Analytics: Python, Google Earth Engine (GEE), Object-Based Image Analysis (OBIA), and GeoAI segmentation (TerraLab).
Software & Tools: ArcGIS Pro, ArcMap, QGIS, WebGIS integration.
Applied Modeling: Blue carbon stock estimation (InVEST), coastal thermal stress monitoring, and spatial network analysis.
Passionate about leveraging geospatial technologies and data-driven decision-making to support spatial planning, marine & coastal conservation, and sustainable land management. Actively seeking full-time roles or Management Trainee (MT/FGDP) programs in Geospatial Data Science, ESG, and Agribusiness.
š Explore my spatial algorithms and projects: amaliaportofolio.netlify.app